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Producing over 2,000 PPTs in a month: A complete case study covering creation, distribution, and monetization.

Hello, I'm Pei Xuetong, partner at Gengxu and Xinghe. Some of you may know that our team is currently running an AI-generated PPT project. Today, from an execution perspective, I'll analyze how we managed to produce 2,000 PPTs in a single month.

Summary

Review the results before exploring further

Hello, I'm Pei Xuetong, partner at Gengxu and Xinghe. Some of you may know that our team is currently running an AI-generated PPT project. Today, from an execution perspective, I'll analyze how we managed to produce 2,000 PPTs in a single month, including their distribution and monetization. Feishu Haodu version:

Our Take

Three things to consider about this case

Why it matters
First, run a small, verifiable task, recording the outcome, manual modifications, and maintenance effort.
Who it suits
Suitable for reference by those who already have similar needs and can verify effectiveness through small tasks.
What to check first
The achievements mentioned in the summary belong to the author's self-report; distinguish between revenue and profit, and consider costs, man-hours, and reproduction conditions.

What should you ask before trying this?

  • What specific need does this practice solve for you?
  • How should the minimum viable test be accepted, and how much time needs to be invested?
  • Which steps still require human processing and continuous maintenance?
Still deciding? Read our decision guides
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